A Multi-Operator Image Redirection Method Preserving the Aspect Ratio of Important Content Areas

Abstract

The invention discloses a multi-operator image redirection method for maintaining the important content area width-to-height ratio. Firstly visual saliency detection is performed on an input image, and an energy spectrum is calculated by combination of a normalized grayscale map; a visual saliency image is obtained by performing threshold segmentation and division on the energy spectrum; the required stretching size is calculated according to the size of the visual saliency image for reducing the overall size of the visual saliency image; different degrees of stretching is performed on the visual saliency image and background information; then similarity transformation is performed on the stretched image; and finally fine adjustment is performed by using a line cutting method with addition of gradient vector flow according to the target size so as to acquire the final output image. With application of the method, the visual saliency content can be detected and globally protected so as to enhance the quality of the image redirection technology.

Description

technical field [0001] The invention belongs to the field of image processing, and more particularly relates to a content-aware-based image redirection method, in particular to a content-aware-based multi-operator image redirection algorithm for maintaining the aspect ratio of an important content area. Background technique [0002] Content-aware image redirection method - compared with traditional redirection methods such as nearest neighbor interpolation, bilinear interpolation and cropping, the line cropping method can change the aspect ratio of the image at will without distorting the content, which is very It is suitable for mobile terminal devices with increasingly diverse display sizes. The following briefly introduces several existing image redirection methods based on line cropping. [0003] The first type of method uses line cropping technology alone for image reorientation. The reorientation method is to find the optimal cropping gap on the image energy map, and ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of existing image redirection methods that fail to reflect high-quality visual effects, provide a multi-operator image redirection method that maintains the aspect ratio of important content areas, and can obtain higher-quality visual effects. Experience the effect to improve the performance of image retargeting technology

Images